Full-Stack AI Engineer

GreenLight.ai

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

About the Company

GreenLight operates at the intersection of global workforce infrastructure, compliance, operations, and AI. We provide workforce solutions for businesses and talent marketplaces, including EOR, AOR, freelancer management, onboarding, payments, and compliance operations across multiple countries.

Responsibilities

  • Design, build, and deploy AI-powered workflows, internal tools, assistants, and platform capabilities
  • Identify opportunities for AI integration across leadership, product, and operations teams
  • Build agentic workflows and multi-step reasoning systems
  • Develop intelligent onboarding, support systems, and knowledge retrieval tools
  • Integrate AI across platform operations and customer workflows to create operational leverage

Requirements

  • 5+ years of software engineering experience (full-stack or backend preferred)
  • Proven track record of shipping production software used by customers or internal teams
  • Experience building AI-powered products, agents, copilots, or workflow systems
  • Strong working knowledge of OpenAI and/or Anthropic APIs
  • Proficiency in Python, Node.js, TypeScript, or similar modern languages
  • Experience with APIs, system integrations, and backend workflows
  • Knowledge of RAG, vector databases, embeddings, or knowledge retrieval systems
  • Experience with cloud infrastructure, deployment, and monitoring

Preferred Qualifications

  • Background in AI-native companies or high-growth venture-backed startups
  • Familiarity with tools like LangChain, LangGraph, n8n, Retool, Zapier, or Make
  • Experience with workforce, HR, payroll, compliance, or payments workflows
  • Strong product instincts and ability to translate business problems into software

Skills & tools

PythonNode.jsTypeScriptOpenAILangChainRAG

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years software engineering experience
  2. 02Experience shipping production AI products
  3. 03Proficiency in Python, Node.js, or TypeScript
  4. 04Knowledge of OpenAI/Anthropic APIs
  5. 05Experience with RAG and vector databases
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